48 web-developer "https:" "https:" "https:" "Fraunhofer Gesellschaft" uni jobs at CNRS
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the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 8 people : 3PhD students, 3 post doc, 1 research engineer and 1 assistant
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et des technologies associéesCountryFranceCityNANTESGeofield Contact City NANTES Website http://www-subatech.in2p3.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options
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team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed
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large scale due to their cost, but also, they can't capture global motions. The goal of the current project is to develop MLIP that will replace QM/MM, leading to ML/MM simulations that will be usable
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coupled fibre rings. In this system, light evolves in discrete steps. This kind of evolution leads to nonlinear dynamics that are fundamentally distinct from those in standard photonic lattices, giving rise
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matériauxCountryFranceCityCAENGeofield Contact City CAEN Website https://www-crismat.ensicaen.fr STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger Qzone YahooMail
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. The PhD candidate will join the team Methods and Algorithms for Bioinformatics (MAB). - Supervision: - Dr Eric Rivals, HdR, (LIRMM), CNRS Research Director in computer science and bioinformatics (web https
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Discovery”, with a strong scientific and environmental ambition: developing lower-footprint AI methods for real inverse problems in nondestructive evaluation. The topic has already passed the first ENACT
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at the Institute for Research in Insect Biology (IRBI), UMR 7261 CNRS – University of Tours (France) and will join the IRBI's ESORE (Social Evolution and Environmental Responses) team. The student will also benefit
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purely correlational analyses and to develop predictive models with operational relevance. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR8212-DAVFAR-008/Candidater.aspx Requirements